EpiMCBN: A Kind of Epistasis Mining Approach Using MCMC Sampling Optimizing Bayesian Network.
Xuan YangKeqin LiYang ZhangXi YuJunli DengJianxiao LiuPublished in: BIBM (2022)
Keyphrases
- bayesian networks
- markov chain monte carlo
- monte carlo
- posterior probability
- approximate inference
- markov chain
- sampling algorithm
- metropolis hastings
- mining algorithm
- web mining
- metropolis hastings algorithm
- knowledge discovery
- markov chain monte carlo sampling
- text mining
- sequential patterns
- importance sampling
- random sampling
- bayesian inference
- probabilistic inference
- random variables
- probabilistic model
- association rule mining
- sample size
- graphical models
- data mining techniques
- inference in bayesian networks
- sampling methods
- particle filter
- generative model
- data association
- posterior distribution
- parameter learning
- itemsets
- gibbs sampling
- gibbs sampler
- structure learning
- structural learning
- causal relationships